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requirements.txt
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requirements.txt
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# This file was autogenerated by uv via the following command:
# uv pip compile requirements.in requirements-gpu.in
aiosignal==1.3.1
# via ray
annotated-types==0.7.0
# via pydantic
attrs==24.2.0
# via
# jsonschema
# referencing
cachetools==5.5.0
# via cudf-cu12
certifi==2024.8.30
# via requests
charset-normalizer==3.4.0
# via requests
click==8.1.7
# via
# dask
# ray
cloudpickle==3.0.0
# via dask
contourpy==1.3.0
# via matplotlib
cramjam==2.8.4
# via fastparquet
cuda-python==12.6.0
# via
# cudf-cu12
# rmm-cu12
cudf-cu12==24.8.3
# via
# -r requirements-gpu.in
# cudf-polars-cu12
cudf-polars-cu12==24.8.3
# via -r requirements-gpu.in
cupy-cuda12x==13.3.0
# via cudf-cu12
cycler==0.12.1
# via matplotlib
dask==2024.9.1
# via
# -r requirements.in
# dask-expr
dask-expr==1.1.15
# via
# -r requirements.in
# dask
duckdb==1.1.1
# via -r requirements.in
fastparquet==2024.5.0
# via -r requirements.in
fastrlock==0.8.2
# via cupy-cuda12x
filelock==3.16.1
# via ray
fonttools==4.54.1
# via matplotlib
frozenlist==1.4.1
# via
# aiosignal
# ray
fsspec==2024.9.0
# via
# cudf-cu12
# dask
# fastparquet
# modin
idna==3.10
# via requests
importlib-metadata==8.5.0
# via dask
jsonschema==4.23.0
# via ray
jsonschema-specifications==2024.10.1
# via jsonschema
kiwisolver==1.4.7
# via matplotlib
linetimer==0.1.5
# via -r requirements.in
llvmlite==0.43.0
# via numba
locket==1.0.0
# via partd
markdown-it-py==3.0.0
# via rich
matplotlib==3.9.2
# via plotnine
mdurl==0.1.2
# via markdown-it-py
mizani==0.11.4
# via plotnine
modin==0.32.0
# via -r requirements.in
msgpack==1.1.0
# via ray
numba==0.60.0
# via
# cudf-cu12
# rmm-cu12
numpy==1.26.4
# via
# contourpy
# cudf-cu12
# cupy-cuda12x
# dask
# fastparquet
# matplotlib
# mizani
# modin
# numba
# pandas
# patsy
# plotnine
# pyarrow
# rmm-cu12
# scipy
# statsmodels
nvtx==0.2.10
# via cudf-cu12
packaging==24.1
# via
# cudf-cu12
# dask
# fastparquet
# matplotlib
# modin
# plotly
# ray
# statsmodels
pandas==2.2.2
# via
# -r requirements.in
# cudf-cu12
# dask
# dask-expr
# fastparquet
# mizani
# modin
# plotnine
# statsmodels
partd==1.4.2
# via dask
patsy==0.5.6
# via statsmodels
pillow==10.4.0
# via matplotlib
plotly==5.24.1
# via -r requirements.in
plotnine==0.13.6
# via -r requirements.in
polars==1.9.0
# via
# -r requirements.in
# cudf-polars-cu12
protobuf==5.28.2
# via ray
psutil==6.0.0
# via modin
py4j==0.10.9.7
# via pyspark
pyarrow==16.1.0
# via
# -r requirements.in
# cudf-cu12
# dask-expr
# modin
pydantic==2.9.2
# via
# -r requirements.in
# pydantic-settings
pydantic-core==2.23.4
# via pydantic
pydantic-settings==2.5.2
# via -r requirements.in
pygments==2.18.0
# via rich
pynvjitlink-cu12==0.2.3
# via cudf-cu12
pyparsing==3.1.4
# via matplotlib
pyspark==3.5.3
# via -r requirements.in
python-dateutil==2.9.0.post0
# via
# matplotlib
# pandas
python-dotenv==1.0.1
# via pydantic-settings
pytz==2024.2
# via pandas
pyyaml==6.0.2
# via
# dask
# ray
ray==2.37.0
# via modin
referencing==0.35.1
# via
# jsonschema
# jsonschema-specifications
requests==2.32.3
# via ray
rich==13.9.2
# via cudf-cu12
rmm-cu12==24.8.2
# via cudf-cu12
rpds-py==0.20.0
# via
# jsonschema
# referencing
scipy==1.14.1
# via
# mizani
# plotnine
# statsmodels
setuptools==75.1.0
# via -r requirements.in
six==1.16.0
# via
# patsy
# python-dateutil
statsmodels==0.14.4
# via plotnine
tenacity==9.0.0
# via plotly
toolz==1.0.0
# via
# dask
# partd
typing-extensions==4.12.2
# via
# cudf-cu12
# pydantic
# pydantic-core
tzdata==2024.2
# via pandas
urllib3==2.2.3
# via requests
zipp==3.20.2
# via importlib-metadata